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减少西班牙北部高度工业化地区颗粒物的关键因素:无组织排放和二次气溶胶前体。

Key factors for abating particulate matter in a highly industrialized area in N Spain: Fugitive emissions and secondary aerosol precursors.

机构信息

Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.

Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.

出版信息

Chemosphere. 2023 Nov;341:139959. doi: 10.1016/j.chemosphere.2023.139959. Epub 2023 Aug 26.

Abstract

In highly industrialized areas, abating particulate matter (PM) is complex owing to the variety of emission sources with different chemical profiles that may mix in the atmosphere. Gijón-an industrial city in northern Spain-was selected as a case study to better understand the key emission sources and improve air quality in highly industrialized areas. Accordingly, the trends of various air quality indicators (PM10, PM2.5, SO, NO, and O) during the past decade (2010-2019) were analyzed. Additionally, the inorganic and organic PM10 compositions were analyzed for source apportionment studies and to assess the impact of COVID-19 restrictions on PM10 levels. The results revealed that over the past decade, PM10 concentrations decreased, whereas PM2.5 concentrations dominated by secondary inorganic aerosols (SIA) remained relatively constant. Notably, during the COVID-19 lockdown, the PM10 concentration increased by 9.1%, primarily owing to an increase in regional SIA (>65%) due to specific meteorological conditions that favor the formation of secondary PM from gaseous precursors. Overall, eight key PM10 sources were identified: "industrial fugitive PM resuspension" (FPM, 28% of mean PM10 concentration), "aged sea spray" (SSp, 16%), "secondary nitrate" (SN, 15%), "local diffuse source" (LPM, 12%), "solid fuel combustion" (SFC, 7.8%), "biomass burning" (BB, 7.4%), "secondary sulphate" (SSu, 6.0%), and "sinter" (SIN, 4.5%). The PM10 concentration in Gijón is significantly influenced by the integrated steel industry (FPM, SFC, and SIN; 41% of PM10) and fugitive primary PM emissions were the main source (FPM and LPM; 40%). To reduce PM10 and PM2.5 concentrations, industrial fugitive emissions, which are currently poorly regulated, and SIA precursors must be abated. This study provides a methodological approach that combines trend analysis, chemical speciation, and source apportionment for assessing pollution abatement strategies in industrialized areas with a complex mix of emission sources.

摘要

在高度工业化的地区,由于具有不同化学特征的各种排放源可能在大气中混合,因此减少颗粒物 (PM) 非常复杂。西班牙北部的工业城市希洪被选为案例研究,以更好地了解关键排放源并改善高度工业化地区的空气质量。相应地,分析了过去十年(2010-2019 年)各种空气质量指标(PM10、PM2.5、SO、NO 和 O)的趋势。此外,还对无机和有机 PM10 成分进行了分析,以进行源分配研究,并评估 COVID-19 限制对 PM10 水平的影响。结果表明,在过去十年中,PM10 浓度下降,而主要由二次无机气溶胶(SIA)组成的 PM2.5 浓度相对保持不变。值得注意的是,在 COVID-19 封锁期间,PM10 浓度增加了 9.1%,主要是由于特定的气象条件有利于气态前体形成二次 PM,导致区域 SIA(>65%)增加。总体而言,确定了 8 个关键的 PM10 源:“工业逸散 PM 再悬浮”(FPM,占 PM10 平均浓度的 28%)、“老化海雾”(SSp,16%)、“次生硝酸盐”(SN,15%)、“当地弥散源”(LPM,12%)、“固体燃料燃烧”(SFC,7.8%)、“生物质燃烧”(BB,7.4%)、“次生硫酸盐”(SSu,6.0%)和“烧结”(SIN,4.5%)。希洪的 PM10 浓度受综合钢铁工业(FPM、SFC 和 SIN;占 PM10 的 41%)的显著影响,而逸散的一次 PM 排放是主要来源(FPM 和 LPM;占 40%)。为了降低 PM10 和 PM2.5 浓度,必须减少目前监管不善的工业逸散排放和 SIA 前体。本研究提供了一种方法,该方法结合了趋势分析、化学特征和源分配,用于评估具有复杂混合排放源的工业化地区的污染减排策略。

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